Investigation of Gait Parameters between Sexes

Aim: Gait is a complex neuromuscular process that provides valuable insight into an individual's health status and functional capacity. The parameters of gait can be influenced by a number of factors, including gender, age, height, weight and the level of physical activity. An understanding of the influence of gender on gait has significant implications for the prevention and treatment of various musculoskeletal disorders. The objective of this study was to investigate the impact of gender on gait parameters in a cohort of healthy adults. Method: The study was conducted on a total of 64 healthy adult subjects, comprising 32 female and 32 male volunteers, with an age range of 18 to 45 years. Gait analysis was conducted utilising the TecnoBody Walker View device. The participants were instructed to walk for five minutes at a speed of 4.0 km/h with the device. The gait analysis encompassed the assessment of several biomechanical parameters, including trunk flexion range of motion, hip flexion range of motion, knee flexion range of motion, stride length, cadence, and step contact time. The findings obtained from both genders were compared. Results: No statistically significant difference was observed between the sexes with regard to the gait parameters (p>0.05). Conclusion: The findings show that gender has no significant effect on gait parameters such as step length, cadence, step duration and joint range of motion in healthy adults. Future studies conducted on larger sample groups will shed light on whether there are differences in gait parameters between genders.

Authors

Institutions

Publication Details

Journal
İstanbul Gelişim Üniversitesi Sağlık Bilimleri Dergisi
Published
2024-12-30
DOI
https://doi.org/10.38079/igusabder.1576948
Primary Topic
Muscle activation and electromyography studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigation of Gait Parameters between Sexes

Gülşah Konakoğlu, Görkem Açar, Berkay Üzümcü
1 links
İstanbul Gelişim Üniversitesi Sağlık Bilimleri Dergisi
Muscle activation and electromyography studies
article

Investigation of Gait Parameters between Sexes

Gülşah Konakoğlu, Görkem Açar, Berkay Üzümcü
article en

Abstract

Aim: Gait is a complex neuromuscular process that provides valuable insight into an individual's health status and functional capacity. The parameters of gait can be influenced by a number of factors, including gender, age, height, weight and the level of physical activity. An understanding of the influence of gender on gait has significant implications for the prevention and treatment of various musculoskeletal disorders. The objective of this study was to investigate the impact of gender on gait parameters in a cohort of healthy adults. Method: The study was conducted on a total of 64 healthy adult subjects, comprising 32 female and 32 male volunteers, with an age range of 18 to 45 years. Gait analysis was conducted utilising the TecnoBody Walker View device. The participants were instructed to walk for five minutes at a speed of 4.0 km/h with the device. The gait analysis encompassed the assessment of several biomechanical parameters, including trunk flexion range of motion, hip flexion range of motion, knee flexion range of motion, stride length, cadence, and step contact time. The findings obtained from both genders were compared. Results: No statistically significant difference was observed between the sexes with regard to the gait parameters (p>0.05). Conclusion: The findings show that gender has no significant effect on gait parameters such as step length, cadence, step duration and joint range of motion in healthy adults. Future studies conducted on larger sample groups will shed light on whether there are differences in gait parameters between genders.

İstanbul Gelişim Üniversitesi Sağlık Bilimleri Dergisi(24)
Manisa Celal Bayar University (TR), İstanbul Gelişim Üniversitesi (TR), Robotic Technology (United States) (US)
Openalex Percentile: Top 77%
Muscle activation and electromyography studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.